Look for complete geospatial metadata in this layer's associated xml document available from the download link * Metric Name: Unemployment Percentile * * Tier: 1 * Data Vintage: 2021 * Unit Of Measure: Percent * Represent element and pillar: Yes * Type and distribution of data: Continuous distribution representing percent values. Raw data range from 0 to 99.948. * Translation: Where are the areas with the lowest unemployment? * Translation method and outcome: Raw data values translated to **** range from +1 to -1 representing more favorable to less favorable conditions, respectively, with investments begin directed at less favorable areas to improve conditions, in this case to infuse resources into communities that are most in need. **** The proposition of more favorable is based on the objective of understanding where community investments are less critical (negative linear slope). More favorable (translated to +1) set at 0% unemployment, and less favorable (translated to -1) set at 99.948% unemployment. Figure 183. Histogram and scoring criterion of current condition of unemployment percentile across the Central Coast Figure 184. Histogram of translated current condition of unemployment percentile across the Central Coast Figure 185. Maps displaying raw metric and translated metric of current condition of unemployment percentile across the Central Coast * Metric Definition and Relevance: Percentage of the population over the age of 16 that is unemployed and eligible for the labor force. Excludes retirees, students, homemakers, institutionalized persons except prisoners, those not looking for work, and military personnel on active duty (5-year estimate, 2015-2019). Because low socioeconomic status often goes hand-in-hand with high unemployment, the rate of unemployment is a factor commonly used in describing disadvantaged communities. On an individual level, unemployment is a source of stress, which is implicated in poor health reported by residents of such communities. Lack of employment and resulting low income often constrain people to live in neighborhoods with higher levels of pollution and environmental degradation. * Credits: California Environmental Protection Agency, CalEnviroScreen 4.0 \--Office of Environmental Health Hazard Assessment, CAL EPA